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README.md

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`@@ -1,6 +1,7 @@`
`1`	`1`	`# 数据挖掘算法`
`2`	`2`
`3`	`3`	`## 算法目录`
	`4`	`+#### 18大DM算法`
`4`	`5`	`包名 \| 目录名 \| 算法名 \|`
`5`	`6`	`-----\| ------ \|--------\|`
`6`	`7`	`AssociationAnalysis \| DataMining_Apriori \| Apriori-关联规则挖掘算法`
`@@ -21,6 +22,19 @@ SequentialPatterns \| DataMining_GSP \| GSP-序列模式分析算法`
`21`	`22`	`SequentialPatterns \| DataMining_PrefixSpan \| PrefixSpan-序列模式分析算法`
`22`	`23`	`StatisticalLearning \| DataMining_EM \| EM-期望最大化算法`
`23`	`24`	`StatisticalLearning \| DataMining_SVM \| SVM-支持向量机算法`
	`25`	`+#### 其他经典DM算法`
	`26`	`+包名 \| 目录名 \| 算法名 \|`
	`27`	`+-----\| ------ \|--------\|`
	`28`	`+Others \| DataMining_ACO \| ACO-蚁群算法`
	`29`	`+Others \| DataMining_BayesNetwork \| BayesNetwork-贝叶斯网络算法`
	`30`	`+Others \| DataMining_CABDDCC \| CABDDCC-基于连通图的分裂聚类算法`
	`31`	`+Others \| DataMining_Chameleon \| Chameleon-两阶段合并聚类算法`
	`32`	`+Others \| DataMining_DBSCAN \| DBSCAN-基于密度的聚类算法`
	`33`	`+Others \| DataMining_GA \| GA-遗传算法`
	`34`	`+Others \| DataMining_GA_Maze \| GA_Maze-遗传算法在走迷宫游戏中的应用算法`
	`35`	`+Others \| DataMining_KDTree \| KDTree-k维空间关键数据检索算法工具类`
	`36`	`+Others \| DataMining_MSApriori \| MSApriori-基于多支持度的Apriori算法`
	`37`	`+Others \| DataMining_RandomForest \| RandomForest-随机森林算法`
`24`	`38`
`25`	`39`	`##18大经典DM算法`
`26`	`40`	`18大数据挖掘的经典算法以及代码实现,涉及到了决策分类,聚类,链接挖掘,关联挖掘,模式挖掘等等方面,后面都是相应算法的博文链接,希望能够帮助大家学。`

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